KDB Product Support Engineer

Reposted 23 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
100K-130K Annually
Mid level
Artificial Intelligence • Cloud • Software • Database • Big Data Analytics
The Role
The KDB Product Support Engineer will provide advanced technical support for KX products, troubleshoot issues, support customer deployments, and collaborate with engineering to resolve defects.
Summary Generated by Built In

About KX

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively. 


KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.


Overview of the Role

KX is hiring a KDB+ Product Support Engineer for our New York team.You will provide advanced technical support for mission‑critical, low‑latency systems used by Tier‑1 financial institutions.


Key Responsibilities

· Minimum 2+ years of experience in product/technical support or kdb+/q engineering roles.

· Provide advanced technical support for KX products, ensuring stability and high performance.

· Troubleshoot issues related to kdb+/q, data pipelines, networking, and system performance.

· Support customer deployments, upgrades, and production incidents.

· Perform deep‑dive root cause analysis (RCA) for high‑impact issues.

· Collaborate with engineering to resolve product defects and enhance product functionality.

· Create and maintain technical documentation and knowledge‑base articles.

· Participate in global on‑call rotation, including occasional weekend or after‑hours coverage.


Skills

• Hands‑on kdb+/q experience preferred.

• Linux/Unix system administration skills.

• SQL/database proficiency.

• Strong analytical and problem‑solving capabilities.

• Excellent communication skills.

• Strong hands‑on kdb+/q experience.

• Linux/Unix system administration skills.

• SQL/database proficiency.

• Strong analytical and problem‑solving capabilities.

• Excellent communication skills.


Essential Experience

• Experience supporting enterprise or mission‑critical systems.

• Experience troubleshooting performance, memory, or networking issues.

• Experience working with real‑time or time‑series data systems.


Preferred Qualifications

• Experience in financial services, market data, or trading systems.

• Knowledge of real‑time data pipelines or messaging (Kafka, Solace).

• Scripting experience (Python, Shell).

• Familiarity with ITIL support processes.

• Understanding of TCP/IP and networking fundamentals.


Location & Workplace Type

Hybrid working model based out of our New York office.


Salary Range

$100,000.00 -$130,000.00 dependant on experience


Why Choose KX

• Data Driven: We lead with instinct and follow fact.

• Naturally Curious: We lean in, listen and learn fast.

• All In: We take ownership, take on challenges and give it our all.


Benefits

• Competitive Salary

• Individually tailored training and skills development

• Private healthcare package and Employee Assistance Programme

• Enhanced maternity and paternity package

• Wellness Days and Volunteer Days

Skills Required

  • Minimum 2+ years of experience in product/technical support or kdb+/q engineering roles
  • Hands-on kdb+/q experience
  • Linux/Unix system administration skills
  • SQL/database proficiency
  • Experience supporting enterprise or mission-critical systems
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The Company
HQ: New York, New York
513 Employees
Year Founded: 1996

What We Do

We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency. Our technology is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive, and fleet telematics organizations.

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